Title :
Set theoretic compression with an application to image coding
Author :
Thao, Nguyen T. ; Asai, Kohtaro ; Vetterli, Martin
Author_Institution :
Dept. of Electr. & Electron. Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong
Abstract :
We discuss the concept of set theoretic compression where the input signal is implicitly encoded by the specification of a set which contains it, rather than an estimate which approximates it. This approach assumes the reconstruction of an estimate from the encoded set information only at the decoder side. We explain the motivations of this approach for high signal compression and encoding simplification, and the implication of more complex decoding. We then present the tools to support the approach. We finally show a demonstration of this approach in a particular application of image coding
Keywords :
data compression; decoding; discrete cosine transforms; image coding; image reconstruction; set theory; transform coding; block DCT coding; decoder; decoding; encoding; estimate reconstruction; high signal compression; image coding; image reconstruction; input signal; set theoretic compression; Binary sequences; Decoding; Discrete cosine transforms; Hypercubes; Image coding; Image reconstruction; Probability distribution; Quantization;
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
DOI :
10.1109/ICIP.1994.413587
